Raffaele Marino
Orcid: 0000-0002-2311-4380
According to our database1,
Raffaele Marino
authored at least 17 papers
between 2015 and 2024.
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Bibliography
2024
Phase transitions in the mini-batch size for sparse and dense two-layer neural networks.
Mach. Learn. Sci. Technol., March, 2024
A Short Review on Novel Approaches for Maximum Clique Problem: from Classical algorithms to Graph Neural Networks and Quantum algorithms.
CoRR, 2024
The Garden of Forking Paths: Observing Dynamic Parameters Distribution in Large Language Models.
CoRR, 2024
2023
Comput., October, 2023
Solving Non-linear Kolmogorov Equations in Large Dimensions by Using Deep Learning: A Numerical Comparison of Discretization Schemes.
J. Sci. Comput., 2023
Engineered Ordinary Differential Equations as Classification Algorithm (EODECA): thorough characterization and testing.
CoRR, 2023
A Bridge between Dynamical Systems and Machine Learning: Engineered Ordinary Differential Equations as Classification Algorithm (EODECA).
CoRR, 2023
Stochastic Gradient Descent-like relaxation is equivalent to Glauber dynamics in discrete optimization and inference problems.
CoRR, 2023
CoRR, 2023
2022
2021
Mach. Learn. Sci. Technol., September, 2021
Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization.
CoRR, 2021
2020
2018
2015
CoRR, 2015